فصلنامه آموزش مهندسی ایران
پیاپی 94 (تابستان 1401)

In this group article, part of the teaching of advanced dynamics course has been done in the form of group-based training projects. In this project, the mechanism of a spinning ride is designed and then engineering analyzes are performed on it. The system of this spinning ride must be designed in such a way that the absolute acceleration of the human head is equal to six times the acceleration of gravity. The most basic thing to do is conceptual design. Engineering analyzes such as dynamic analysis and motion simulation; finite element analysis is also performed to obtain natural frequencies and to determine the deformations caused by loading. After completing the above steps, information will be provided about materials and manufacturing processes. Due to the fact that this project was carried out in the form of a new method of learning advanced dynamics in the form of nine groups at Sharif University of Technology and the groups competed with each other, in the end, students were surveyed about the amount of learning from this method of teaching.

Since the Corona pandemic, universities have widely used e-learning for engineering education. Although the e-learning method has practical challenges, some approaches can enrich this method and increase the attractiveness of the teaching by employing activity-based learning. In this article, examples of such approaches for the improvement of e-learning are addressed. The first method is to teach the engineering concepts with the help of proper experiments, which is easier to implement in e-learning than traditional teaching. The second approach is to enrich the learning by motivating students to carry out practical experiments at home while the students are provided with the elements needed for these activities. Another important approach is employing active links to implement activity-based learning and interactive teaching. This article also presents the results of some surveys conducted on the above approaches and the evaluations obtained from students in such courses in order to confirm the effectiveness of these strategies. Finally, the teaching approaches of different universities in the important course “Introduction to Electrical Engineering” are reviewed and compared with the methodology of the University of Tehran to indicate the employment of the proposed approaches in other universities.

Evaluating the quality of the performances of higher education centers is very important due to their important and effective role. Evaluating the quality of the performance of higher education centers leads to identifying strengths and weaknesses, as well as opportunities and factors hindering development, and the possibility of an appropriate planning for improving the situation is also provided. In order to continuously modify and improve the university system, it seems necessary to establish an appropriate performance evaluation mechanism through which the improvement of the entire university system can be considered in addition to improving and enhancing the scientific quality, and at the same time, which has arisen from the text of the university system and conforms to the characteristics of this system.In this research, considering the uncertain decision-making environment, a new evaluation model called Fuzzy Improved Input Efficiency Profiling – Common Weights Based on the Optimal Solution (FIIEP – CWBOS) has been proposed, which improves the performance of the classic input efficiency profile model. The results of this study showed that the proposed model has the necessary validity and optimal performance compared to other models presented so far.

This article investigates the adverse effects of the COVID-19 pandemic on academic education. Limited time and resources makes it necessary to prioritize negative consequences based on their risk in a preventive manner. An effective tool for this matter is the analysis of potential failure modes and effects (FMEA). The negative consequences of the coronavirus pandemic are categorized and prioritized based on the severity, ways of diagnosis, and the probability of occurrence, using FMEA. In this study, using a survey of 120 participants, common failure modes, severity, occurrence likelihood, and preventive detection methods were investigated, and the intensity and occurrence numbers were assigned based on expert opinions. Finally, the listed breakdowns were ranked in order of deterioration. Also, corrective actions were provided to eliminate or reduce the effects of failure of the mentioned cases, and the risk priority number was re-predicted. At the end, effective solutions were presented as a list.